WEIMI INSIGHTS / OPERATOR ANALYSIS
Read availability alongside sales so a closed, empty or disconnected machine is not mistaken for a weak location.
HOURS
When was the site intended to serve customers?
AVAILABILITY
When could customers complete the relevant purchase?
SALES
What was sold during those conditions?
Compare locations with a clear availability definition and retain the lost-service context instead of ranking raw totals alone.
01 / BUYER NOTES
An operator comparing two machines may want to identify better locations, improve service or change the assortment. Each question needs context. A low sales total can reflect limited customer interest, but it can also reflect a closed venue, unavailable products or an unresolved equipment issue.
Define the period and intended operating hours before calculating a rate. A machine in a weekday office should not automatically be compared with a site open every day using the same calendar-hour denominator. The relevant hours depend on the decision being made.
02 / BUYER NOTES
Whole-machine availability and product availability are different. A cabinet may accept purchases while its most popular product is sold out. Conversely, the stock can be full while the payment service is unavailable. Decide which condition matters to the metric.
Create a practical definition such as the period during which a customer could buy the specified offer through the approved workflow. Confirm which evidence the systems actually provide. Do not claim minute-by-minute availability if the records only show occasional observations.
Keep scheduled closure, planned service and unexpected interruption as separate categories where possible. They point to different actions. A location with short opening hours may need a different commercial assessment from a machine that repeatedly fails during its scheduled hours.
03 / BUYER NOTES
For an illustrative example, Machine A sells 120 items during 60 available hours, while Machine B sells 150 during 100 available hours. The observed rates are two and 1.5 items per available hour respectively. These hypothetical figures show why raw totals and normalised rates can rank sites differently.
The calculation does not prove that Machine A would sell proportionally more if it operated longer. Demand varies by time of day, customer mix and other conditions. Do not extrapolate a rate across hours that have not been observed without identifying the assumption.
Show the original totals beside the rate. A single normalised figure can hide the scale of downtime or a very small sample. Decision-makers need both the observed performance and the amount of missing service.
04 / BUYER NOTES
Adjusting for availability helps diagnose demand, but downtime still affects revenue and customer experience. Keep a separate view of total sales over the scheduled period and the interruptions that reduced service. Otherwise, a machine with severe outages can appear excellent whenever it happens to be running.
Use the availability-adjusted rate to ask whether the site may deserve better support, not to make the interruption disappear. The commercial review still includes service cost, lost operating time and the practical ability to keep the machine stocked and working.
Avoid inventing lost-sales amounts by multiplying every unavailable hour by a peak-hour rate. If you estimate a range for planning, label it as a model and explain the assumptions. It is not observed revenue.
05 / BUYER NOTES
Use consistent product groupings, time zones and reporting boundaries. A machine selling larger bundles can have fewer units but more revenue, so clarify whether the comparison concerns transactions, packs, individual items or sales value.
Check that refunds, test transactions and other adjustments are treated consistently. Different report definitions can create apparent site differences that are actually accounting or data-processing differences. Retain a record of the metric definitions.
If availability evidence is incomplete, mark the comparison as limited. Recording that exact interruption duration is unknown is more honest than filling the gap with an assumed full day of uptime.
06 / BUYER NOTES
A site with strong sales during available periods but frequent stockouts may need a revised refill plan. A site with good availability and persistently weak sales may need an assortment or location review. A site with poor records may first need better operational measurement.
Use a defined follow-up period and record what changed. If you alter the assortment, price and service schedule at once, interpreting the next result becomes harder. Choose the change that addresses the strongest evidence and document the other conditions.
Share the findings with venue managers in plain language. Explain what customers could buy, when service was interrupted and what action is proposed. Avoid presenting a complex ratio without the practical reason it matters.
Answers: What was actually sold in the reporting period?
Needs: Consistent unit, transaction and adjustment definitions.
Answers: When could the relevant purchase be completed?
Needs: A clear definition and evidence with known limits.
Answers: What rate was observed while service was available?
Needs: Context about demand timing and the size of the sample.
PRACTICAL ANSWERS
No. Retain the actual commercial result. Use an additional availability-adjusted view for diagnosis, with downtime still visible.
That is a speculative model unless representative evidence supports it. Label assumptions and avoid presenting the estimate as observed sales.
Use the evidence available and state its limits. Do not create false precision by assuming unknown periods were fully available.
YOUR NEXT STEP
Share your reporting goals with WEIMI and confirm the available sales, status and stock data. Build location comparisons around documented fields and clearly stated limitations.
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